How to Learn Creating AI Agents: Design Your First Agent Step by Step

If you want to know how to learn creating AI agents, start with design, not code: every good agent has a clear goal, the right tools, memory, rules and a schedule. Get those five right and almost any platform will do the rest. In the video below, ElevenAgents’ Architect builds agents for you — a great example of how much creating agents has changed. Here’s my simple design template and five agents to create first.

The agent design template

Why design comes first

Most agents fail because nobody decided exactly what they were for. “Help with marketing” isn’t a goal; “turn each new video into a blog post, three social posts and an email” is. Writing the design down in plain English takes five minutes and saves hours of re-prompting. It also makes it easy to ask an AI to build the agent for you.

Five agents to create first

How to create your agent

Choose a platform — Hermes Agent is my go-to, and builders like ElevenAgents’ Architect can now create agents from a description. Paste in your design, connect the tools it needs, and run it once with you watching. Fix anything it gets wrong by updating the rules, then save it as a skill and put it on its schedule.

Testing and improving agents

Review the first week of outputs. When something’s off, don’t just fix the output — fix the rule that caused it, so it never happens again. Add one example of a perfect result to the agent’s instructions; examples improve agents more than long explanations. Keep approvals on until you trust it.

Combining agents

Once your five agents work, connect them. The research assistant can feed the content repurposer; the weekly reporter can summarise what the others did. That’s how individual agents become a team — and an Agent OS gives you one place to manage them all.

Skills that make you good at creating agents

Clear writing, breaking jobs into steps, knowing which tools exist, and patience to test. None of these need code. If you later want custom agents inside your own software, you can learn frameworks — but the design skills above are what make any agent work.

A worked example: the content repurposer

Goal: turn each new video into a blog post draft, three social posts and an email. Tools: the transcript, files and your content folder. Memory: your style rules, audience and banned phrases. Rules: answer-first openings, short paragraphs, one call to action, links to related posts. Schedule: whenever a new transcript lands in the folder. Write that down, paste it into your agent and test it on one video; then refine the rules until the drafts need only light editing.

That one agent can save a creator several hours a week.

Common design mistakes

Vague goals, too many tools, no examples of good output, no approvals on sending, and no schedule. Each one makes an agent unreliable. Fix them in the design and the agent almost builds itself.

Creating agents for other people

Once you can create agents for yourself, you can create them for clients, teammates or your community. The same design template works: agree the goal, list the tools and accounts needed, write the rules with the person who’ll use it, and schedule it. Hand over the written design along with the agent, so they understand what it does and can ask for changes in plain English.

That’s a valuable skill in 2026, because most businesses know agents could help them but don’t know how to design one.

How to describe an agent so AI can build it

Modern tools can create agents from a description, so writing a great description is now a core skill. Include the goal, the trigger, the steps, the tools, the output format and the checks, plus one example of a perfect result. Keep each part short and specific. A description like that works in Hermes, in agent builders like ElevenAgents’ Architect, and as a starting point if you later build the agent in code.

Start creating AI agents

That’s how to learn creating AI agents: design first, build five simple agents, test and improve, then combine them. Start free in AI Money Lab, where you can copy 1,000+ ready-made agents, and join the AI Profit Boardroom for live help.

Start with the morning brief this week. It’s the simplest agent to design, it teaches every part of the template, and it’s useful from the very first day. Once it works, use the same template for the other four agents on the list, and you’ll have a small team of assistants within a month. Keep every design you write in one folder; it becomes a library you can reuse and adapt for every new agent you create.

About Julian Goldie

Julian Goldie is the founder of Goldie Agency, the best-selling author of Link Building Mastery and one of the most-watched AI educators on YouTube, with 430K+ subscribers. He tests new AI agents almost every day and teaches them in the AI Profit Boardroom and the free AI Money Lab community.

FAQ: how to learn creating ai agents

How do I learn to create AI agents?

Design each agent with a goal, tools, memory, rules and a schedule, then build five simple agents and improve them.

What do I need to create an AI agent?

A platform like Hermes Agent, a model (free ones work), and a clear plain-English design.

Can AI create AI agents for me?

Yes — tools like ElevenAgents’ Architect and agents like Hermes can build agents from a description.

What is the first AI agent I should create?

A morning brief that sends you the day’s news in your niche.

How do I make my AI agent better?

Review outputs, fix the rules behind mistakes, and add an example of a perfect result.

Related reading

• How to Learn Building AI Agents
• Best Hermes Agent Skills
• Best Hermes Agent Use Cases

Last updated October 2026. This page is a living guide to how to learn creating ai agents — the facts here move fast and it is updated as they do.